DQFormer: Detect and Track Objects with Denoised Queries in Transformer


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Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Benchmark:

MOT17 | MOT20 |

Short name:

DQFormer

Detector:

Private

Description:

Reference:

Last submitted:

November 20, 2023 (3 months ago)

Published:

November 20, 2023 at 02:55:07 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

GeForce 3090

Runtime:

6.4 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT2072.967.755.7790 (63.6)138 (11.1)28,404109,58078.893.552.659.256.976.664.776.782.66.32,039 (0.0)3,804 (0.0)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT20-0484.474.661.75362813,39028,50089.694.856.267.960.777.873.878.283.06.48251,610
MOT20-0659.157.146.3115627,41146,18065.292.144.548.648.172.752.874.681.57.46761,297
MOT20-0779.068.759.87841,4555,36283.895.054.066.858.579.472.181.885.52.5135206
MOT20-0853.457.845.161446,14829,53861.988.646.344.350.073.549.470.881.17.6403691

Raw data:


DQFormer